city-data-mcp
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TDQS
Scored across 28 tools
Most query_* tools target distinct datasets and domains, and descriptions often clarify when to use alternatives. However, query_city_data overlaps with query_311_trends and query_national_crime, while meta-tools like map_issue_data and create_city_briefing overlap with individual query tools, creating several ambiguous boundaries.
Tool names consistently follow a snake_case verb_noun pattern: query_*, create_*, compare_*, list_*, map_*, track_*, search_*. Minor variations like query_311_trends and query_cost_of_living remain readable and within the same convention.
With 28 tools, the server exceeds the ideal range and falls into the 25+ category, which is heavy for an agent to navigate. While the broad city-data domain explains some breadth, several tools could be parameterized or consolidated instead of exposed individually.
The surface covers a wide range of city data domains, including demographics, crime, economics, housing, transit, schools, health, and government budgets, plus aggregation tools. There are minor gaps in country coverage, such as Canada lacking transit, schools, budget, and traffic tools, but agents can work around these limitations.